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Mathematical Problems in Engineering
Volume 2013, Article ID 515362, 10 pages
http://dx.doi.org/10.1155/2013/515362
Research Article

Stability and -Gain Control of Positive Switched Systems with Time-Varying Delays via Delta Operator Approach

1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway

Received 15 September 2013; Accepted 6 November 2013

Academic Editor: Xiaojie Su

Copyright © 2013 Shuo Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper investigates the problems of stability and -gain controller design for positive switched systems with time-varying delays via delta operator approach. The purpose is to design a switching signal and a state feedback controller such that the resulting closed-loop system is exponentially stable with -gain performance. Based on the average dwell time approach, a sufficient condition for the existence of an -gain controller for the considered system is established by constructing an appropriate copositive type Lyapunov-Krasovskii functional in delta domain. Moreover, the obtained conditions can unify some previously suggested relevant methods in the literature of both continuous- and discrete-time systems into the delta operator framework. Finally, a numerical example is presented to explicitly demonstrate the effectiveness and feasibility of the proposed method.

1. Introduction

Positive systems mean that their states and outputs are nonnegative whenever the initial conditions and inputs are nonnegative [1, 2]. A positive switched system consists of a family of positive subsystems and a switching signal, coordinating the operation of various subsystems to specify when and how the switching takes place among the subsystems. Recently, due to the broad applications in communication systems [3, 4], formation flying [5], viral mutation dynamics under drug treatment [2], and systems theories [610], positive systems have been highlighted and investigated by many researchers [1114]. It has been shown that a linear copositive Lyapunov functional is powerful for the analysis and synthesis of positive systems [1517].

The delta operator, a novel method with good finite word length performance under fast sampling rates, has drawn considerable interest in the past three decades. As we know, the standard shift operator was mostly adopted in the study of control theories for discrete-time systems. However, the dynamic response of a discrete system does not converge smoothly to its continuous counterpart when the sampling period tends to zero; namely, data are taken at high sampling rates. Until Goodwin et al. proposed a delta operator method in [18] to take the place of the traditional shift operator, the above problem is avoided. It was shown that delta operator requires smaller word length when implemented in fixed-point digital control processors than shift operator does [19]. The delta operator model can be regarded as a useful approach to deal with discrete-time systems under high sampling rates through the analysis methods of continuous-time systems [2023]. Based on significant early investigations such as [2426] studying the basic properties and performance of delta operator model, numerical properties and practical applications of delta operator model have been extensively investigated [2729]. The delta operator is defined by whereis a sampling period. When, the delta operator model will approach the continuous system before discretization and reflect a quasicontinuous performance.

In real engineering, time delays are involved in many fields, such as mechanics, medicine, chemistry, biology, physics, economics, engineering, and control theory [3033]. The existence of time delay may give rise to the deterioration of system performance and instability. Many results have been reported for time-delay systems [3439].

In addition, exogenous disturbances are commonly unavoidable in practical process, and the output will be inevitably affected by the disturbance in a system. Because of the peculiar nonnegative property of positive systems, the -gain (or -gain) index [39] can characterize the disturbance rejection property, by means of which we can limit the effect of disturbance in a prescribed level. Some results on-gain (or -gain) analysis and control for positive systems have been reported in the literature [39, 40]. However, few results on the issue of-gain performance for positive switched systems via delta operator approach are proposed, which motivates the current research.

In this paper, we focus our attention on investigating the stability and-gain controller design for positive switched systems with time-varying delays via delta operator approach. The main contributions of this paper are fourfold.The positive switched systems via delta operator approach are investigated for the first time.By applying the average dwell time approach, sufficient conditions of exponential stability for positive switched delta operator systems are derived. Moreover, the results obtained can be applied to both continuous-time systems and discrete-time systems.-gain performance analysis of the underlying system is developed.A state feedback controller design scheme is proposed such that the corresponding closed-loop system is exponentially stable with an-gain performance.

The remainder of the paper is as follows. The problem formulation and some necessary lemmas are provided in Section 2. In Section 3, the issues of stability,-gain performance analysis, and control of the underlying system are developed. A numerical example is presented to demonstrate the feasibility of the obtained results in Section 4. In Section 5, concluding remarks are given.

Notations.     means that all entries of matrixare nonnegative (nonpositive, positive, and negative);means that;means the transpose of matrix ;is the set of all real (positive real) numbers;is an-dimensional real (positive real) vector space;is the set of all-dimensional real matrices;refers to the set of all positive integers; the vector-norm is denoted by, whereis theth element of;denotes a column vector withrows containing onlyentry;is the space of absolute summable sequence on; that is, we sayis inif.

2. Problem Formulation

Consider the following switched delta operator system with time-varying delays: wheredenotes the state;is the controlled output; andis the disturbance input, which belongs to.means the timeandis the sampling period;is the initial time.is the switching signal withrepresenting the number of subsystems.,,,andare constant matrices with appropriate dimensions.denotes the time-varying discrete delay which satisfiesfor known integersand;is a given discrete vector-valued initial condition. The switch is assumed to only occur at the sampling time in this paper.

Remark 1. To illustrate the main advantage of delta operator systems directly, we consider a typical continuous system without time delays as follows: Using the traditional shift operator approach to discretize the system, the following discrete form in-domain can be obtained: where,,and. When,and. The movement of the system poles towards stable boundary makes the system defective with the increase in the sampling rates. However, by utilizing the delta operator approach, we can obtain the following system expressed in delta domain: where,,and. When,and. It can be seen that the system matrices are the same as those of the original continuous system, alleviating the problems encountered with fast sampling.

Remark 2. Since a delta operator system can be regarded as a quasicontinuous system when, the termcan be utilized likein normal continuous-time systems.

Definition 3. System (2) is said to be positive if, for any initial conditions,, any inputs, and any switching signals, the corresponding trajectoriesandhold for all.

Remark 4. Definition 3 follows the general positivity definition of a positive system, which means that the state and output are nonnegative whenever the initial condition and input are nonnegative [1, 2].

Lemma 5. System (2) is positive if and only if,, ,, and, for all .

Proof. From the definition of delta operator, the discrete form of system (2) can be obtained as follows: Combining Lemmain [41] and Lemmain [42], one can obtain the remaining proof easily.

Remark 6. When, system (2) degenerates to a general continuous-time positive switched system as follows: wheredenotes the time-varying delay which is everywhere time differentiable and satisfies andfor known constants,, and. Then according to [39], system (7) is positive if and only ifare Metzler matrices, and,,and, for all .

Remark 7. In the light of Lemmaof [43], it is clear that theth subsystem in system (2) is positive if and only if , , , , and , for all . Thus we can have an equivalent expression of Lemma 5: system (2) is positive under any switching signals if and only if it consists of a family of positive subsystems.

Definition 8 (see [44]). System (2) withis said to be exponentially stable underif, for constants and, the solutionsatisfies where.

Definition 9 (see [45]). For any switching signal and any, letdenote the number of switches ofover the interval. For givenand, if the inequality holds, then the positive constantis called an average dwell time andis called a chattering bound.
Without loss of generality, one chooses in this paper.

Definition 10. Forand, system (2) is said to have a prescribed-gain performance levelif there exists a switching signalsuch that the following conditions are satisfied:(a)system (2) is exponentially stable when;(b)under zero initial condition, that is,,, system (2) satisfies

Remark 11. In Definition 10, as proposed in [39],-gain performance indexcharacterizes system's suppression to exogenous disturbances. The smaller the value ofis, the better the performance of the system is, that is, the lesser the effect of the disturbance input on the control output is.
The purposes of this paper are to find a class of switching signalsunder which system (2) is exponentially stable and possesses an-gain performance andto determine a class of switching signals and a state feedback controllerfor the following positive switched delta operator system with time-varying delays: such that the resulting closed-loop system is exponentially stable with an -gain performance.

3. Main Results

This section will focus on the problems of stability analysis and-gain controller design for positive switched delta operator systems with time-varying delays.

3.1. Stability Analysis

First, we consider the following switched positive delta operator system: where,for, andis defined the same as system (2).

Sufficient conditions of exponential stability of system (12) are provided in the following theorem.

Theorem 12. Given a positive constant , if there exist , such that, for all , where,, and, then system (12) is exponentially stable for any switching signalswith average dwell time wheresatisfies
Furthermore, the state decay of system (12) is given by where

Proof. Choose the following piecewise copositive type Lyapunov functional for theth subsystem in system (12): where
For simplicity,is written as(correspondingly,is written as) in the later section of the paper.
The Lyapunov function in delta domain has the following form:
According to (20), we have
From (13), we obtain
Letdenote the switching instants ofover the interval. Consider the following piecewise Lyapunov functional candidate for system (12): From (15) and (18), we obtain Then, it follows from (22), (24), and the relationthat, for, Considering the definition of,,,andin Theorem 12, it yields that Combining (25)-(26), we obtain where.
Therefore, according to Definition 8, system (12) is exponentially stable for any switching signalswith average dwell time (14).
This completes the proof.

Remark 13. Whenin (15), which leads to,,, for all , andby (14), system (12) possesses a common copositive type Lyapunov-Krasovskii functional, and the switching signal can be arbitrary.
When, system (12) can be represented by wheresatisfies, for all . Then we have the following corollary.

Corollary 14. Given a positive constant, if there exist, such that, for all , then system (28) is exponentially stable for any switching signalswith average dwell time (14), wheresatisfies
When the sampling period, system (12) becomes a continuous-time system as follows: whereare Metzler matrices and , for all . denotes the time-varying delay which satisfies andfor known constants,and.

We can obtain sufficient conditions of exponential stability of system (31) by Theorem 12.

Corollary 15. Given a positive constant, if there exist , such that, for all , then system (31) is exponentially stable for any switching signalswith average dwell time wheresatisfies (15).
Let. When the sampling period, system (12) becomes a discrete-time system as follows: whereand, for all . One can obtain sufficient conditions of exponential stability of system (34) by Theorem 12.

Corollary 16. Given a positive constant , if there exist, such that, for all , then system (34) is exponentially stable for any switching signalswith average dwell time wheresatisfies (15).

3.2. -Gain Analysis

The following theorem establishes sufficient conditions of exponential stability with-gain property for system (2).

Theorem 17. For given positive constantsand, if there exist , such that, for all , where,,represents theth column of matrix,, , and represents theth column of matrix,, then system (2) is exponentially stable with an-gain performance for any switching signalswith average dwell time (14), wheresatisfies (15).

Proof. By Theorem 12, the exponential stability of system (2) withis ensured if (37) holds. To show the weighted-gain performance, we choose the Lyapunov functional (18). From (15), we have
For any, noticing (37)-(38), we have where.
Combining (39) and (40) leads to Under the zero initial condition, we obtain from (41) that namely, Multiplying both sides of (43) byyields Noticing that, we have Combining (44) and (45) leads to Summing both sides of (46) fromtoleads to From Definition 10, it can be concluded that system (2) is exponentially stable with a prescribed-gain performance level.
This completes the proof.

Remark 18. Whenin Theorem 17, summing both sides of (44) fromtoleads to which gives the standard-gain performance.

3.3. Controller Design

In this section, we are interested in designing a state feedback controllerfor positive switched system (11) such that the corresponding closed-loop system is exponentially stable with an -gain performance.

Theorem 19. Considering system (11), for given positive scalarsand, if there exist and, such that, for all , whereandhave been defined in Theorem 17 and, then the corresponding closed-loop system (49) is positive and exponentially stable with a prescribed-gain performance levelfor any switching signalswith average dwell time (14), wheresatisfies (15).

Proof. Denote. Following the proof line of Theorem 17, one can exactly obtain Theorem 19. It is omitted here.
This completes the proof.

Consider the controller design of the following positive switched delta operator system without time delay: where. Then we directly have the following corollary.

Corollary 20. Considering system (54), for given positive scalarsand, if there existand, such that, for all , whereandhave been defined in Theorem 17 and, then the corresponding closed-loop system is positive and exponentially stable with a prescribed-gain performance levelfor any switching signalswith average dwell time (14), wheresatisfies (30).
Based on Theorem 19, one is now in a position to present an effective algorithm for constructing the desired controller.

Algorithm 21. Consider the following.

Step 1. Input the matrices,,,,, and .

Step 2. Choose the parametersand. By solving (50)–(52), one can obtain the solutions of,,, and .

Step 3. By the equationwith the obtainedand, one can get the gain matrices.

Step 4. Check condition (53) in Theorem 19. If it holds, go to Step 5; otherwise, adjust the parameterand return to Step 2.

Step 5. Construct the feedback controller , where, are the gain matrices.

4. Numerical Example

Consider positive switched delta operator system (11) consisting of two subsystems described by the following.

Subsystem 1:

Subsystem 2: and,,,, and . Then, by solving (50)–(52) in Theorem 19, we can obtain the following solutions: and the state feedback gain matrices can be obtained as follows:

Obviously, condition (53) is satisfied.

According to (15), we have. Then from (14), we get. Choosing, the simulation results are shown in Figures 1 and 2, where the initial conditions areand ,, and the exogenous disturbance input iswhich belongs to. The switching signal with average dwell timeis shown in Figure 1 and the state responses of the corresponding closed-loop system are given in Figure 2. From the simulation results, it can been seen that the closed-loop system is exponentially stable with a prescribed-gain performance level.

515362.fig.001
Figure 1: Switching signal.
515362.fig.002
Figure 2: State responses of the closed-loop system.

5. Conclusions

In this paper, the stability and-gain controller design problems for positive switched systems with time-varying delays via delta operator approach have been investigated. By constructing a copositive type Lyapunov-Krasovskii functional and using the average dwell time approach, we proposed sufficient conditions of exponential stability and-gain performance for the considered system. The desired state feedback-gain controller was designed such that the corresponding closed-loop system is exponentially stable and satisfies an-gain performance. Finally, a numerical example was presented to demonstrate the feasibility of the obtained results. In our future work, we will study the robust stabilization problem of positive switched systems with uncertainties and time-varying delays via delta operator approach.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

This work was supported by the National Natural Science Foundation of China under Grant no. 61273120.

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